The goal of user experience design in industry is to improve customer satisfaction and loyalty through the utility, ease of use, and pleasure provided in the interaction with a product. So far, user experience studies have mostly focused on short-term evaluations and consequently on aspects relating to the initial adoption of new product designs. Nevertheless, the relationship between the user and the product evolves over long periods of time and the relevance of prolonged use for market success has been recently highlighted. In this paper, we argue for the costeffective elicitation of longitudinal user experience data. We propose a method called the "UX Curve" which aims at assisting users in retrospectively reporting how and why their experience with a product has changed over time. The usefulness of the UX Curve method was assessed in a qualitative study with 20 mobile phone users. In particular, we investigated how users' specific memories of their experiences with their mobile phones guide their behavior and their willingness to recommend the product to others. The results suggest that the UX Curve method enables users and researchers to determine the quality of long-term user experience and the influences that improve user experience over time or cause it to deteriorate. The method provided rich qualitative data and we found that an improving trend of perceived attractiveness of mobile phones was related to user satisfaction and willingness to recommend their phone to friends. This highlights that sustaining perceived attractiveness can be a differentiating factor in the user acceptance of personal interactive products such as mobile phones. The study suggests that the proposed method can be used as a straightforward tool for understanding the reasons why user experience improves or worsens in long-term product use and how these reasons relate to customer loyalty.

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BA O'Mullane, RB Knapp, R Bond. Review of user interface devices for ambient assisted living smart homes for older people. Gerontechnology 2010;9(2):Smart homes generally focus on issues to do with security, health, energy savings and entertainment, issues which grow in importance as we age. The sensors, actuators and entertainment devices required to build such a system add significantly to its complexity. Hence, the Man-Machine Interface (MMI) to the smart home systems is often acknowledged to be the most sensitive area for acceptance. Smart homes can allow the user modify the house via a unified control, additionally assisted living smart homes gather information about the subjects health, information that can be used to feedback to the user to modify their behaviour via the device. Increasingly these interface device present information from the internet, such as weather and news. With the internet fast becoming the first source of information for many services, such as shopping, or care workers access, these devices may additionally help bridge the digital divide between the young and old (2) , if the principles of universal design are addressed (3)(4). The purpose of this study is to examine user interfaces devices that can perform these tasks and analyse them with regard to the particular requirements of the older user.

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